Literature DB >> 19377061

The prevalence and nature of glycan alterations on specific proteins in pancreatic cancer patients revealed using antibody-lectin sandwich arrays.

Tingting Yue1, Irwin J Goldstein, Michael A Hollingsworth, Karen Kaul, Randall E Brand, Brian B Haab.   

Abstract

Changes to the glycan structures of proteins secreted by cancer cells are known to be functionally important and to have potential diagnostic value. However, an exploration of the population variation and prevalence of glycan alterations on specific proteins has been lacking because of limitations in conventional glycobiology methods. Here we report the use of a previously developed antibody-lectin sandwich array method to characterize both the protein and glycan levels of specific mucins and carcinoembryonic antigen-related proteins captured from the sera of pancreatic cancer patients (n = 23) and control subjects (n = 23). The MUC16 protein was frequently elevated in the cancer patients (65% of the patients) but showed no glycan alterations, whereas the MUC1 and MUC5AC proteins were less frequently elevated (30 and 35%, respectively) and showed highly prevalent (up to 65%) and distinct glycan alterations. The most frequent glycan elevations involved the Thomsen-Friedenreich antigen, fucose, and Lewis antigens. An unexpected increase in the exposure of alpha-linked mannose also was observed on MUC1 and MUC5ac, indicating possible N-glycan modifications. Because glycan alterations occurred independently from the protein levels, improved identification of the cancer samples was achieved using glycan measurements on specific proteins relative to using the core protein measurements. The most significant elevation was the cancer antigen 19-9 on MUC1, occurring in 19 of 23 (87%) of the cancer patients and one of 23 (4%) of the control subjects. This work gives insight into the prevalence and protein carriers of glycan alterations in pancreatic cancer and points to the potential of using glycan measurements on specific proteins for highly effective biomarkers.

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Year:  2009        PMID: 19377061      PMCID: PMC2709194          DOI: 10.1074/mcp.M900135-MCP200

Source DB:  PubMed          Journal:  Mol Cell Proteomics        ISSN: 1535-9476            Impact factor:   5.911


  50 in total

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Journal:  Glycoconj J       Date:  1995-06       Impact factor: 2.916

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  68 in total

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Authors:  Kelley W Moremen; Michael Tiemeyer; Alison V Nairn
Journal:  Nat Rev Mol Cell Biol       Date:  2012-06-22       Impact factor: 94.444

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Authors:  William R Alley; Jacqueline A Vasseur; John A Goetz; Martin Svoboda; Benjamin F Mann; Daniela E Matei; Nancy Menning; Ahmed Hussein; Yehia Mechref; Milos V Novotny
Journal:  J Proteome Res       Date:  2012-03-07       Impact factor: 4.466

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Journal:  Adv Cancer Res       Date:  2015-02-07       Impact factor: 6.242

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Authors:  Tingting Yue; Katie Partyka; Kevin A Maupin; Mary Hurley; Philip Andrews; Karen Kaul; A James Moser; Herbert Zeh; Randall E Brand; Brian B Haab
Journal:  Proteomics       Date:  2011-08-02       Impact factor: 3.984

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Authors:  Sudhir Singh; Kuntal Pal; Jessica Yadav; Huiyuan Tang; Katie Partyka; Doron Kletter; Peter Hsueh; Elliot Ensink; Birendra Kc; Galen Hostetter; H Eric Xu; Marshall Bern; David F Smith; Anand S Mehta; Randall Brand; Karsten Melcher; Brian B Haab
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Authors:  Meng Fang; Jae-Min Lim; Lance Wells
Journal:  Curr Protoc Chem Biol       Date:  2010-04-01

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Authors:  Zhi Zeng; Marina Hincapie; Brian B Haab; Samir Hanash; Sharon J Pitteri; Steven Kluck; Jason M Hogan; Jacob Kennedy; William S Hancock
Journal:  J Chromatogr A       Date:  2009-09-16       Impact factor: 4.759

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Authors:  Kevin A Maupin; Arkadeep Sinha; Emily Eugster; Jeremy Miller; Julianna Ross; Vincent Paulino; Venkateshwar G Keshamouni; Nhan Tran; Michael Berens; Craig Webb; Brian B Haab
Journal:  PLoS One       Date:  2010-09-27       Impact factor: 3.240

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Authors:  Neeley Remmers; Judy M Anderson; Erin M Linde; Dominick J DiMaio; Audrey J Lazenby; Hans H Wandall; Ulla Mandel; Henrik Clausen; Fang Yu; Michael A Hollingsworth
Journal:  Clin Cancer Res       Date:  2013-02-27       Impact factor: 12.531

10.  A motif-based analysis of glycan array data to determine the specificities of glycan-binding proteins.

Authors:  Andrew Porter; Tingting Yue; Lee Heeringa; Steven Day; Edward Suh; Brian B Haab
Journal:  Glycobiology       Date:  2009-11-29       Impact factor: 4.313

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